diff --git a/pandas/core/dtypes/missing.py b/pandas/core/dtypes/missing.py
index 309c9f03ba6ed..d461db2d05f9d 100644
--- a/pandas/core/dtypes/missing.py
+++ b/pandas/core/dtypes/missing.py
@@ -152,7 +152,7 @@ def _isna_new(obj):
     ):
         return _isna_ndarraylike(obj)
     elif isinstance(obj, ABCDataFrame):
-        return obj._constructor(obj._data.isna(func=isna))
+        return obj.isna()
     elif isinstance(obj, list):
         return _isna_ndarraylike(np.asarray(obj, dtype=object))
     elif hasattr(obj, "__array__"):
@@ -183,7 +183,7 @@ def _isna_old(obj):
     elif isinstance(obj, (ABCSeries, np.ndarray, ABCIndexClass, ABCExtensionArray)):
         return _isna_ndarraylike_old(obj)
     elif isinstance(obj, ABCDataFrame):
-        return obj._constructor(obj._data.isna(func=_isna_old))
+        return obj.isna()
     elif isinstance(obj, list):
         return _isna_ndarraylike_old(np.asarray(obj, dtype=object))
     elif hasattr(obj, "__array__"):
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index 5c04678cd5fa6..f25f17d8447fe 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -4478,19 +4478,20 @@ def _maybe_casted_values(index, labels=None):
 
     @Appender(_shared_docs["isna"] % _shared_doc_kwargs)
     def isna(self) -> "DataFrame":
-        return super().isna()
+        result = self._constructor(self._data.isna(func=isna))
+        return result.__finalize__(self)
 
     @Appender(_shared_docs["isna"] % _shared_doc_kwargs)
     def isnull(self) -> "DataFrame":
-        return super().isnull()
+        return self.isna()
 
     @Appender(_shared_docs["notna"] % _shared_doc_kwargs)
     def notna(self) -> "DataFrame":
-        return super().notna()
+        return ~self.isna()
 
     @Appender(_shared_docs["notna"] % _shared_doc_kwargs)
     def notnull(self) -> "DataFrame":
-        return super().notnull()
+        return ~self.isna()
 
     def dropna(self, axis=0, how="any", thresh=None, subset=None, inplace=False):
         """